Mistral AI · language model
Mistral Small 3.1 24B: pricing, context and benchmarks
Mistral Small 3.1 24B is a language model from Mistral AI released on March 17, 2025. It costs $0.35 per million input tokens and $0.56 per million output tokens, with a 128K-token context window. No independent score has been published for it so far.
What you need to know about Mistral Small 3.1 24B
Mistral Small 3.1 24B was released by Mistral AI (France) on March 17, 2025. It accepts text and images as input and produces text. Its context window reaches 128,000 tokens, larger than 19 % of the models in the registry, and it can write up to 102,400 tokens in one go.
Released more than 1 year ago, it belongs to a generation most vendors have since superseded.
Mistral Small 3.1 24B pricing
On OpenRouter, Mistral Small 3.1 24B costs $0.35 per million input tokens and $0.56 per million output tokens. Counting three tokens read for every token written, its average price is $0.402 per million, more expensive than 34 % of paid models (1.9 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.001. At 1,000 tasks a day, budget $29 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Mistral Small 3.1 24B. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at October 2023.
Its weights are open and downloadable from Hugging Face: you can run it on your own machines without sending your data to a third party.
Other Mistral AI models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Mistral Large 4 | Oct 6, 2026 | $2.07 | 150 |
| Mistral Medium 3.5 | Apr 30, 2026 | $3 | 141.4 |
| Mistral Small 4 | Mar 16, 2026 | $0.26 | — |
| Devstral 2 2512 | Dec 9, 2025 | $0.8 | — |
| Ministral 3 14B 2512 | Dec 2, 2025 | $0.2 | — |
| Ministral 3 8B 2512 | Dec 2, 2025 | $0.15 | — |
| Ministral 3 3B 2512 | Dec 2, 2025 | $0.1 | — |
| Mistral Large 3 2512 | Dec 1, 2025 | $0.75 | — |
Verdict
Mistral Small 3.1 24B scores 58/100 on our grid, which only uses published figures.
Strengths
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
- Older generation, often replaced by a newer model from the same vendor.
Alternatives
- Mercury 2$0.38
- Uncensored$0.38
- Llama 3.1 70B Instruct$0.4
- Qwen2.5 72B Instruct$0.37
- Cydonia 24B V4.1$0.35
- DeepSeek V3.1$0.43
Comparisons and tools
Learn more
Frequently asked questions
How much does Mistral Small 3.1 24B cost?
$0.35 per million input tokens and $0.56 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.001.
How big is Mistral Small 3.1 24B's context window?
128,000 tokens, roughly 96,000 words, with a maximum of 102,400 output tokens.
Can Mistral Small 3.1 24B run locally?
Yes, its weights are published.
Is Mistral Small 3.1 24B suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to Mistral Small 3.1 24B?
The closest models on price and performance are Mercury 2, Uncensored, and Llama 3.1 70B Instruct.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score